Cited 43 time in
Determination of Water-holding Capacity of Porcine Musculature Based on Released Water Method Using Optimal Load
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Joo, Seon-Tea | - |
| dc.date.accessioned | 2022-12-26T16:48:26Z | - |
| dc.date.available | 2022-12-26T16:48:26Z | - |
| dc.date.issued | 2018-08 | - |
| dc.identifier.issn | 1225-8563 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/11435 | - |
| dc.description.abstract | The purpose of this study was to evaluate the suitability of the released water (RW) method for measuring water-holding capacity (WHC) by pressure and filter-paper absorption within two thin plastic films. One hundred fifty pork loins with considerable variations in WHC (three pork qualities: PSE, pale, soft, and exudative; RFN, reddish-pink, firm, and nonexudative; and DFD, dark, firm, and dry; 50 pork loins in each pork quality group) were used to measure drip loss (DL)% and RW % after applying different loads (1.5, 2.0, 2.5, 3.0 and 3.5 kg). Percentages of DL and RW were significantly (p<0.05) different among pork quality groups. The RW % of 2.5 kg load sample was significantly (p<0.05) higher than that of 2.0 kg or 1.5 kg load sample. However, there were no significant (p>0.05) differences in RW % among 2.5 kg, 3.0 kg, and 3.5 kg load samples for all three pork quality groups. The RW % was highly and positively correlated (r>0.95; p<0.001) with DL %. The highest correlation was observed between DL % and RW % of 2.5 kg load sample (r=0.97; p<0.001). Among all RW loads within each quality groups, the highest correlation between DL % and RW % was observed for 2.5 kg load sample (1=0.43, 0.66, and 0.46 for PSE, RFN and DFD quality groups, respectively, p<0.001). These results imply that applying 2.5 kg load is the best for determination of RW %. It is recommended as a reference method to assess DL % of pork muscles. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | KOREAN SOC FOOD SCIENCE ANIMAL RESOURCES | - |
| dc.title | Determination of Water-holding Capacity of Porcine Musculature Based on Released Water Method Using Optimal Load | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5851/kosfa.2018.e18 | - |
| dc.identifier.scopusid | 2-s2.0-85053233243 | - |
| dc.identifier.wosid | 000455268000017 | - |
| dc.identifier.bibliographicCitation | KOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES, v.38, no.4, pp 823 - 828 | - |
| dc.citation.title | KOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES | - |
| dc.citation.volume | 38 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 823 | - |
| dc.citation.endPage | 828 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002380125 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Food Science & Technology | - |
| dc.relation.journalWebOfScienceCategory | Food Science & Technology | - |
| dc.subject.keywordPlus | FILTER-PAPER | - |
| dc.subject.keywordPlus | DRIP LOSS | - |
| dc.subject.keywordPlus | PORK | - |
| dc.subject.keywordPlus | MEAT | - |
| dc.subject.keywordPlus | QUALITY | - |
| dc.subject.keywordPlus | COLOR | - |
| dc.subject.keywordPlus | BINDING | - |
| dc.subject.keywordAuthor | released water | - |
| dc.subject.keywordAuthor | filter-paper absorption water | - |
| dc.subject.keywordAuthor | water-holding capacity | - |
| dc.subject.keywordAuthor | drip loss | - |
| dc.subject.keywordAuthor | pork quality | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
